Evidence map›Paper›PMID 33355003›Full record

ArticleJournal of diabetes science and technology2022

Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution.

Michelle Dugas, Weiguang Wang, Kenyon Crowley, Anand K Iyer, Malinda Peeples, Mansur Shomali, Guodong Gordon Gao

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In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michelle DugasCenter for Health Information and Decision Systems, Robert H. Smith School of Business, University of Maryland, College Park, MD, USA.ORCID 0000-0003-1400-4515
Weiguang WangCenter for Health Information and Decision Systems, Robert H. Smith School of Business, University of Maryland, College Park, MD, USA.
Kenyon CrowleyCenter for Health Information and Decision Systems, Robert H. Smith School of Business, University of Maryland, College Park, MD, USA.
Anand K IyerWelldoc Inc, Columbia, MD, USA.
Malinda PeeplesWelldoc Inc, Columbia, MD, USA.
Mansur ShomaliWelldoc Inc, Columbia, MD, USA.
Guodong Gordon GaoCenter for Health Information and Decision Systems, Robert H. Smith School of Business, University of Maryland, College Park, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution.

methodTo examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C). Secondary data from 3142 users of the BlueStar digital health solution collected between December 2013 and June 2017 were analyzed, with a subgroup of 372 reporting A1C lab values.

resultsAbout a third of patients recorded annotations while using the platform. Annotation themes largely reflected self-management behaviors (diet, physical activity, medication adherence) and well-being (mood, health status). Early use of contextual annotations was associated with greater engagement over time and with greater improvements in A1C.

conclusionsOur research provides preliminary evidence of the benefits of annotation features in a digital health solution. Future research is needed to assess the causal impact of note-taking and the moderating role of thematic content reflected in notes.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementElectronic Health RecordsGlycated HemoglobinHumansMedication AdherenceSelf CareGlycated Hemoglobindigital healthengagementmHealthself-managementtype 2 diabetes

Identifiers

PMID33355003
PMCPMC9264428

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.